2026 WINNER · CYBERSECURITY STARS AWARDS
Ray Security · Predictive Data Security & Remediation Platform
Best Cybersecurity Startup
Overview
Ray Security provides the first remediation-focused data security platform that delivers visibility and real-time control over how data is accessed, by users, applications, LLMs, AI agents, and shadow AI, and automatically remediates risky or unnecessary exposure, reducing data risk and ensuring access remains aligned with actual usage.
Key Capabilities
Data is no longer accessed only by users and applications. LLMs, AI copilots, autonomous agents, and shadow AI are now interacting with enterprise data, often outside existing visibility and control.
This fundamentally changes the risk model. Data exposure is no longer driven by permissions alone, but by how data is actually used. AI systems can access, process, and generate content from sensitive data at scale, creating new and often invisible paths to exposure.
Ray Security addresses this shift by providing visibility, control, and automated remediation of data usage. It identifies who, Human and AI, is accessing data, including shadow AI and unmanaged AI tools, and understands how that data is actually used across environments.
Based on this understanding, the platform enforces real-time controls and automatically remediates risky or unnecessary exposure. Access can be restricted, adjusted, or blocked dynamically, ensuring that data is only available when it is needed, and only to the entities that should use it.
The platform operates continuously across structured and unstructured data, cloud and on-premises environments. It does not rely on static classification or predefined rules. Instead, it adapts protection based on actual behavior, aligning access with real usage.
By focusing on how data is actually used, by humans and AI, Ray Security enables organizations to reduce their data attack surface, control AI-driven data exposure, and remediate risk before it becomes a security incident.
BENEFITS
- Control and Remediate AI Data Exposure
Ensure LLMs, copilots, AI agents, and shadow AI access only the data they should, and automatically remediate risky or unnecessary exposure. - Full Visibility into Real Data Usage
Understand who, and what, is interacting with data, including shadow AI operating outside traditional controls. - Reduce Data Risk at the Source
Limit access to only what is needed and automatically remediate excessive or unjustified exposure across users and AI. - Real-Time Protection and Remediation
Detect and remediate risky access as it happens, before data is exposed, misused, or leaked. - Shrink the Data Risk Exposure
Continuously remove and remediate unused or excessive access across humans, applications, and AI systems. - Enable Safe AI Adoption
Allow teams to use AI tools and agents with confidence, with built-in controls and remediation that prevent risky behavior without slowing productivity.
How we are different
| Remediation-First Approach | Not just visibility or alerts, automated remediation is applied both proactively and in real time to close exposure gaps before they become incidents. |
|---|---|
| Built for AI and Agentic Environments | Designed to secure data accessed by LLMs, AI tools, and autonomous agents, not just human users. |
| Enforces Access, Not Just Monitors It | Provides visibility, enforcement, and automated controls over data usage, not passive observation. |
| Understands "Who and What" Uses Data | Covers human users, applications, and AI, including shadow AI operating outside governance. |
| Usage-Based Security Model | Aligns access with actual usage rather than static permissions or classifications. |
| Real-Time, Adaptive Protection | Continuously adjusts access controls based on how data is used, as it happens. |
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